Development of cellphone integrated particulate matter pollution monitoring unit
Bibliographic record
Abstract
In this thesis, a miniature particulate matter detector is developed. The design utilizing light scattering (Mie Theory) phenomenon as the working principle measures mass concentration of particles with preselected size. The selection is realized by a special designed virtual impactor which collects particles within a range of desired physical sizes (10 micrometers or less). Theories corresponding to physical phenomenon are explained in detail. Parameter of each equation and procedure of design are elaborated. The miniature PM monitoring unit achieves one-fifth of the size of the smallest commercial product in the market. All selected components (fan, laser, photodiode) are DC powered and lower wattage, which is made possible for phone battery as the power supply. Sensing range exceeds the worst PM10 reading in the history, and with sensitivity of 0.3μg/m3, the air quality level can be divided into ten or more levels. Special designed virtual impactor separates PM10 from other air laden particles with low particle loss.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".